Pregled bibliografske jedinice broj: 1166120
Application of Computer Vision in Education in Mechatronic Control System
Application of Computer Vision in Education in Mechatronic Control System // 2022 ELEKTRO / Hockicko, Peter et al. (ur.).
Red Hook (NY): Curran Associates, 2022. 21844668, 7 doi:10.1109/ELEKTRO53996.2022.9803616 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1166120 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Computer Vision in Education in Mechatronic Control System
Autori
Tudić, Vladimir ; Stančić, Adam ; Kralj, Damir ; Tropčić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2022 ELEKTRO
/ Hockicko, Peter et al. - Red Hook (NY) : Curran Associates, 2022
ISBN
978-1-6654-6727-8
Skup
14th International Conference ELEKTRO 2022
Mjesto i datum
Kraków, Poljska, 23.05.2022. - 26.05.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
computer vision ; Python ; USB HD camera ; PWM ; ball and plate ; education
Sažetak
The application of computer vision in mechatronics today is becoming one of the most significant and fastest growing areas of science and technology. More and more applications are expected in the future. It is important that modern mechatronics engineers are familiar with these types of simple and affordable programmable control systems. This paper describes a mechatronic educational prototype “ball and plate”, with adjustable configuration parameters of the open- source control system created in the Python Open CV library. Through the phases of computer-aided design, positions for the educational prototype were created in 3D print techniques and an experimental manageable platform with camera feedback was presented. The goal is to control the position of the ball by changing the set-point position. Mechatronic system with two degrees of freedom, uses computer vision USB HD camera as feedback and DC servomotors as actuators. The Python script based open-source control system allows varying the color, PID controller parameters and indirect controlling the position of servomotors through PWM signals using the Arduino platform. This allows students to create and test position control algorithms for different shapes and colors of round objects. The presented mechatronic platform is suitable for students to expand their educational goals in understanding the meaning of computer vision in mechatronics and understanding the working principles of PID controller feedback.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Strojarstvo, Temeljne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Veleučilište u Karlovcu
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus